A Comprehensive Review on Face detection using Machine learning classification

Increased interest in biometric security systems makes face recognition a very effective research area. Now, we will take a look on basics of a face recognition system. In an image a face region is present where only facial features are present. In another terms it means we have to localize or concentrate only on the face region that means we are contemplating those parts of an image where a face may present. This research provides an up-to date survey of various existing recognition techniques but also represent precise descriptions of some methods. In addition to this other topics like issues of illumination and pose variation are also discussed in their work. The purpose of this short review paper is to present, categorize and evaluate some new face detection techniques using four conventional learning machine. The performance and the other evaluation parameters of these methods compare with each other in order to introduce significant techniques and also to state advantages and disadvantages of related work

Classification of HRS using SVM

The kidney diseases are one of the main causes of death around the world. Automatic detection and classification of kidney related diseases are important for diagnosis of kidney irregularities. Hepatorenal Syndrome (HRS) is a lifethreatening medical condition when kidney fails due to liver failure. The treatment to such cases is liver transplant, or dialysis for temporary basis. This paper proposed to apply the Support Vector Machine (SVM) classification for diagnosis of HRS. The results were evaluated using realistic data from hospitals. RBF kernel function is used along with SVM. The results show a significant accuracy of 95%

A Study on Inspection of Defective Tablet Blister Using Image Segmentation Techniques

humansareaffectedfrom many kind ofdiseases. Proper Medicationistheonlywaytoovercome fromsuchdiseases.Somedicinesbecome most important part of human life.Manufacturing of medicines is done in very large scale. Duringmanufacturing, thereare many kind of defects in tablet blister, defects are likebreakage, cracksetcpresentin tablets or capsules.There may be side-effects of these defected tablets or capsules due to variation in dosage when consumed. The manufactured tablets should be properly inspected before reaching to the public, so that they do not cause any side-effects.Manual inspection of such defects in tablet blister may be very challenging task.Image segmentation is an important technique for automation of visual inspection. Hence, it is important to propose some approaches to detect these defects in tablet blister. In literaturesurvey many researchers have proposed multiple procedures for identifying defects in tablet blister. In this research work we review allthe methods used to identify defects in tablets blister

Energy Efficient Branch and Bound based On-Chip Irregular Network Design

Here we present a technique which construct the topology for heterogeneous SoC, (Application Specific NoC) such that total Dynamic communication energy is optimized. The topology is certain to satisfy the constraints of node degree as well the link length. We first layout the topology by finding the shortest path between traffic characteristics with the branch and bound optimization technique. Deadlock is dealt with escape routing using Spanning tree. Investigation outcome show that the proposed design methodology is fast and achieves significant dynamic energy gain

Identity Mapping Scheme with CBDS Approach to Secure MANET

A MANET is considered as self administrating network in which nodes are free to come and join to communicate with various nodes. A network which has a lot of advantages for its characteristics also has disadvantage of being attacked by some malicious node. Since MANET requires that each node should posses a unique, distinct identity, Sybil attack is one of the major threat to MANET. A Sybil attack is in which a node can have different physical identity to weak the distributed MANET system. In this paper, we propose a identity mapping scheme which is implemented with the collaborative bait detection scheme for securing MANET against Sybil attack, black hole attack and gray hole attack. Approach is merged with the CBDS approach for making system more secure against various attacks. Proposed scheme is simulated on NS2 and compared with the Sybil detection scheme on various performance metrics

Recovery of acerbic anaerobic digester for biogas production from pomegranate shells using organic loading approach

86-94Anaerobic digestion of pomegranate shells was conducted in 25 L bioreactor operating at 35±0.5°C. The digester showed a reasonable amount of biogas (0.71 m3/kg VS fed) and methane (55.7%) with stable pH and acid: alkali profiles when operated at organic loading rate (OLR) from 1.0 to 3.0 kg VS/day/m−3. The reactor exhibited stable performance with methane yield of 0.44 m3/kg VS fed and reduction of 38.5% volatile solids (VS) As organic loading rate increased to 3.5 kg VS/day/m−3, accumulation of volatile fatty acid (VFA; 2797 ppm), mainly propionic acid (1617 ppm) was noticeable. The digester turned sour (pH 4.32) with lower biogas (2.5 Ld−1) and methane (30.80%) production, reflecting the case of overloading. Reversal of organic loading rate from 3.5 to 3.0 kg VS/day/m−3 gradually restored the upset anaerobic digester to normal profile in 4 weeks as judged from a gradual increase in biogas (6.5 Ld−1) and methane (58.4%)

Endosalpingiosis with concurrent endometriosis of ovary masquerading as ovarian malignancy

Endosalpingiosis is a rare gynecological disorder of müllerian origin, characterized by the presence of tubal epithelium outside the fallopian tube, which involves structures of the female genital tract, peritoneum, and sub-peritoneal tissues. Endosalpingiosis can be associated with endometriosis or endocervicosis, although it often appears alone. Authors report a case of endosalpingiosis with concurrent endometriosis in a 42-year-old P2L1 patient. The patient presented to us with complaints of heaviness in lower abdomen, a feeling a lump in the lower abdomen and low-grade fever for 15 days. On per abdominal examination, a large solid cystic mass up to 20 weeks size was felt, which was more on the left side. Cervix was normal on speculum examination, the same mass was felt on per vaginal examination, separate from the uterus, the right fornix appeared free. Patient was asked to get a set of investigations done and to review as early as possible. An exploratory laparotomy with peritoneal wash cytology, total abdominal hysterectomy, bilateral salpingo-ophorectomy with supracolic and infracolic omentectomy and bilateral pelvic lymph nodes dissection was done on 18/07/18. Per operatively, there was a large cystic mass occupying the abdominal cavity adhered to the bowel and to posterior wall of the uterus, adhesiolysis followed by staging laparotomy was done.Patient’s postoperative course was uneventful and she was discharged on the 5th day of surgery in stable condition. The final histopathology report was suggestive of endosalpingiosis with concurrent endometriosis

Recovery of acerbic anaerobic digester for biogas production from pomegranate shells using organic loading approach

Anaerobic digestion of pomegranate shells was conducted in 25 L bioreactor operating at 35±0.5°C. The digester showed a reasonable amount of biogas (0.71 m3/kg VS fed) and methane (55.7%) with stable pH and acid: alkali profiles when operated at organic loading rate (OLR) from 1.0 to 3.0 kg VS/day/m−3. The reactor exhibited stable performance with methane yield of 0.44 m3/kg VS fed and reduction of 38.5% volatile solids (VS) As organic loading rate increased to 3.5 kg VS/day/m−3, accumulation of volatile fatty acid (VFA; 2797 ppm), mainly propionic acid (1617 ppm) was noticeable. The digester turned sour (pH 4.32) with lower biogas (2.5 Ld−1) and methane (30.80%) production, reflecting the case of overloading. Reversal of organic loading rate from 3.5 to 3.0 kg VS/day/m−3 gradually restored the upset anaerobic digester to normal profile in 4 weeks as judged from a gradual increase in biogas (6.5 Ld−1) and methane (58.4%)